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Pre-attentive mismatch response and involuntary attention switching to a deviance in an earlier-than-usual auditory stimulus: An ERP study
(Frontiers Media, 2019-03-06)An acoustic stimulus elicits an electroencephalographic response called auditory even-trelated potential (ERP). When some members of a stream of standard auditory stimuli are replaced randomly by a deviant stimulus and ... -
Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV
(Springer Nature, 2015-05)Properties of the Higgs boson with mass near 125GeV are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels ... -
Precision density and viscosity measurement using two cantilevers with different widths
(Elsevier, 2015)We introduce a novel method for fast measurement of liquid viscosity and density using two cantilevers with different geometries. Our method can be used for real-time monitoring in lab on chip systems and offer high accuracy ... -
Precision luminosity measurement in proton–proton collisions at √s = 13 TeV in 2015 and 2016 at CMS
(Springer, 2021-09-09)The measurement of the luminosity recorded by the CMS detector installed at LHC interaction point 5, using proton–proton collisions at s=13TeV in 2015 and 2016, is reported. The absolute luminosity scale is measured for ... -
Precision measurement of the structure of the CMS inner tracking system using nuclear interactions
(IOP Publishing, 2018-10-29)The structure of the CMS inner tracking system has been studied using nuclear interactions of hadrons striking its material. Data from proton-proton collisions at a center-of-mass energy of 13 TeV recorded in 2015 at the ... -
Precision measurement of the W boson decay branching fractions in proton-proton collisions at √s = 13 TeV
(American Physical Society, 2022-04-26)The leptonic and inclusive hadronic decay branching fractions of the W boson are measured using proton-proton collision data collected at s=13 TeV by the CMS experiment at the CERN LHC, corresponding to an integrated ... -
A preconditioned multigrid for simulation of atmospheric flow and wind turbine wakes
(Elsevier, 2015-11-20)This paper demonstrates a low Mach number preconditioning formulation for high Reynolds number, low Mach number atmospheric flows. The preconditioning is implemented together with multigrid approach into a multistage solver ... -
Predictability of emerging market local currency bond risk premia
(Taylor & Francis, 2015)This article investigates the source of predictability of emerging market (EM) local currency bond risk premia by using a dynamic factor approach based on a large panel of economic and financial time series. We find strong ... -
Predicting heat transfer for low- and high-frequency central-orifice synthetic jets
(IEEE, 2016-04)As electronic devices are becoming more compact each day, the more effective and efficient active cooling technologies are needed. Microfluidic devices, such as synthetic jets, serve as a potential candidate to fulfill the ... -
Predicting heat transfer from unsteady synthetic jets
(ASME, 2012-05-31)Synthetic jets are piezo-driven, small-scale, pulsating devices capable of producing highly turbulent jets formed by periodic entrainment and expulsion of the fluid in which they are embedded. The compactness of these ... -
Predicting pore volume, compressive strength, pore connectivity, and formation factor in cementitious pastes containing fly ash
(Elsevier, 2021-09)This paper describes the use of thermodynamic modeling to predict the reaction products and properties of cementitious pastes containing fly ash. A pore partitioning model is used to estimate the gel and capillary pore ... -
Predicting shuttle arrival time in istanbul
(Springer Nature, 2020)Nowadays, transportation companies look for smart solutions in order to improve quality of their services. Accordingly, an intercity bus company in Istanbul aims to improve their shuttle schedules. This paper proposes ... -
Predicting the performance of pressure-swirl atomizers
(Begell House Inc., 2018)The purpose of this study is to evaluate the semiempirical correlations that are found in the literature by comparing them with all of the applicable experimental data that are also taken from the literature. Presentation ... -
Predicting the performance of queues–A data analytic approach
(Elsevier, 2016)Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, ... -
Predicting the risky encounters without distance knowledge between the ships via machine learning algorithms
(Elsevier, 2023-07-01)As the maritime traffic is getting denser, the number of encounters is increasing. The aim of this study is to develop a prediction model to classify encounters as risky or non-risky when two ships encounter in a certain ... -
Prediction algorithm & learner selection for European day-ahead electricity prices
(IEEE, 2020-10)The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. This study was intended in the first place to find out the best time series prediction ... -
Prediction of active UE number with Bayesian neural networks for self-organizing LTE networks
(IEEE, 2017-01-01)Internet-empowered electronic gadgets and content rich multimedia applications have expanded exponentially in recent years. As a consequence, heterogeneous network structures introduced with Long Term Evolution (LTE) ... -
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ... -
Predictor analysis for electricity price forecasting by multiple linear regression
(IEEE, 2020)This paper examines the multiple linear regression method on electricity price forecasting. Numerous predictors are analyzed to reduce the mean absolute percentage error. The training data includes the dates from September ... -
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